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8a1c0a1008
This doesn't get Groq to 100% on the OpenAI API verification tests, but it does get it to 88.2% when Llama Stack is in the middle, compared to the 61.8% results for using an OpenAI client against Groq directly. The groq provider doesn't use litellm under the covers in its openai_chat_completion endpoint, and instead directly uses an AsyncOpenAI client with some special handling to improve conformance of responses for response_format usage and tool calling. Signed-off-by: Ben Browning <bbrownin@redhat.com> |
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| .. | ||
| bedrock | ||
| common | ||
| datasetio | ||
| inference | ||
| kvstore | ||
| memory | ||
| scoring | ||
| telemetry | ||
| __init__.py | ||